Phytoplankton population dynamics of a small reservoir: physical/biological coupling and the time scales of community change

1986 ◽  
Vol 8 (6) ◽  
pp. 1011-1025 ◽  
Author(s):  
Graham P. Harris ◽  
Annette M. Trimbee
Keyword(s):  
Population Dynamics ◽  
Time Scales ◽  
Community Change ◽  
Small Reservoir ◽  
Phytoplankton Population ◽  
Biological Coupling

scholarly journals A thermal trade‐off between viral production and degradation drives virus‐phytoplankton population dynamics

2021 ◽  
Author(s):  
David Demory ◽  
Joshua S. Weitz ◽  
Anne‐Claire Baudoux ◽  
Suzanne Touzeau ◽  
Natalie Simon ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Viral Production ◽  
Trade Off ◽  
Phytoplankton Population

scholarly journals Laboratory study on the effects of nutrient enrichment on a phytoplankton population in Sawa Lake, Iraq

2008 ◽  
Vol 5 (2) ◽  
pp. 230-236 ◽  
Author(s):  
Baghdad Science Journal
Keyword(s):  
Population Dynamics ◽  
Lake Water ◽  
Nutrient Enrichment ◽  
Cell Number ◽  
Shannon Index ◽  
Nitrogen And Phosphorus ◽  
Phytoplankton Population ◽  
Phytoplankton Cell ◽  
Nitrogen Phosphorus ◽  
Index Of Diversity

Nutrient enrichment of Sawa lake water was made using different nitrogen and phosphorus concentrations during autumn and spring at three stations. Different concentrations of nitrogen, phosphorus and N: P ratios were used to test variations in phytoplankton population dynamics. Nitrogen at a concentration of 25 µmole.l-1 and N: P ratio of 10:1 gave highest phytoplankton cell number at all stations and seasons. A total of 64 algal taxa dominated by Bacillariophyceae followed by Cyanophyceae and Chlorophyceae were identified. The values of Shannon index of diversity were more than one in the studied stations.

Food Web Structure in the Recently Flooded Sep Reservoir as Inferred From Phytoplankton Population Dynamics and Living Microbial Biomass

2002 ◽  
Vol 43 (1) ◽  
pp. 67-81 ◽  
Author(s):  
R.D. Tadonléké ◽  
L.B. Jugnia ◽  
T. Sime-Ngando ◽  
J. Devaux ◽  
J.C. Romagoux
Keyword(s):  
Population Dynamics ◽  
Microbial Biomass ◽  
Food Web ◽  
Food Web Structure ◽  
Phytoplankton Population ◽  
Web Structure

Is there any trend in phytoplankton population dynamics in Lake Gallocanta?

1993 ◽  
Vol 25 (2) ◽  
pp. 1001-1004
Author(s):  
Xavier Rodó ◽  
F. A. Comín
Keyword(s):  
Population Dynamics ◽  
Phytoplankton Population

scholarly journals Causal drivers of Barents Sea capelin (Mallotus villosus) population dynamics on different time scales

2017 ◽  
Vol 75 (2) ◽  
pp. 621-630 ◽  
Author(s):  
Hiroko K Solvang ◽  
Sam Subbey ◽  
Anna S J Frank
Keyword(s):  
Population Dynamics ◽  
Time Scales ◽  
Barents Sea ◽  
Abiotic Factors ◽  
Time Frame ◽  
Model Fit ◽  
Statistical Methodology ◽  
Biotic And Abiotic Factors ◽  
Causal Direction ◽  
Capelin Mallotus Villosus

Abstract The dynamics of marine populations are usually forced by biotic and abiotic factors occurring at different intensity levels and time scales. Deriving the time frame within which each factor has a causal influence is important for predicting population trajectories. This paper presents a statistical methodology for establishing (i) the strength of causal coupling between population dynamics and environmental (biotic and abiotic) factors, and (ii) the time scales over which causal covariates have significant influence on the population dynamics. The methodology is based on combining a multivariate autoregressive model fit to data (to determine causal direction) with a quantification of the RPC of covariates in frequency domain (to quantify the strength of connection). The methodology is applied to test the existence of causal coupling between the capelin biomass and a selected number of covariates identified in the literature.

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